Making an API request
Forecasting systems start with a data pipeline that gathers new data from an API or other data source. In this exercise, you'll create the URL link and send a request to the EIA API to retrieve electricity data.
Note that working with the EIA API requires creating an API key; for this exercise, a demo API key has been set up for you.
The requests, os, and pandas packages, as pd, were imported for you.
この演習はコースの一部です
Designing Forecasting Pipelines for Production
演習の手順
- Extract the API key from the environment variable, saving it as
eia_api_key. - Create the full URL path by combining
api_url_pathandeia_api_key. - Make the request using the correct method and passing the full link.
実践的なインタラクティブ演習
このサンプルコードを完成させて、この演習に挑戦してみましょう。
# Extract the API key from the environment variable
eia_api_key = os.____('EIA_API_KEY')
# Create the full URL path
api_url = "https://api.eia.gov/v2/"
api_path = "electricity/rto/region-data/"
api_url_path = api_url + api_path + "data/&data[]=value"
full_path = ____ + "?api_key=" + ____
# Make the request
data = requests.____(____).json()
df = pd.DataFrame(data["response"]["data"])
print(df.head())